AI Learns to Cheat at Hide and Seek #OpenAI #HideandSeek #MachineLearning #ArtificialIntelligence #ReinforcementLearning @OpenAI

OpenAI recently posted on Twitter about teaching computer agents'hide and seek'. We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counter strategies, ultimately using tools in the environment to break our simulated physics. In the simulations, seekers are incentivized to maintain line of sight of hiders and hiders are incentivized to avoid line of sight from seekers. The agents environments contain various shelters including cubicles, movable partitions, blocks and ramps. That said, there is no built-in incentive for agents to interact with objects around them.